Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead strategic sales and business development for NVIDIA Networking at a major Silicon Valley account. Build relationships with R&D and technical teams, drive adoption of GPU-accelerated and AI solutions, manage forecasting, supply and pricing, liaise between customers and product teams, and collaborate with engineering and solutions architects to qualify and deploy networking platforms. Travel up to 25%.

Design, build, and optimize GPU‑accelerated inference software and open‑source frameworks (vLLM, SGLang, FlashInfer). Improve performance and scale for LLMs and generative models across NVIDIA GPUs and edge SoCs using CUDA, CUTLASS, Triton, NCCL and profiling tools. Collaborate across teams to enable efficient model serving and deployment.

Design and build real-time, physics-informed AI models and synthetic data pipelines for quantum calibration and decoding. Develop surrogate models and GPU-accelerated implementations, apply reinforcement and online learning for calibration policies, co-design low-latency calibration-decoding systems, and collaborate across engineering and research to enable fault-tolerant quantum hardware.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.

Lead architecture and global strategy for large-scale, low-latency distributed AI inference. Design high-throughput model serving, hardware-software co-optimization, orchestration for deployment/versioning/auto-scaling across cloud and datacenters, collaborate with customers and open-source ecosystems, and drive full software and system lifecycle for production reliability and performance.

Lead architecture and delivery of DGX Cloud full-stack integration across hardware, firmware, OS, and virtualization. Define control and data plane systems for scalable, metered bare-metal and virtualized accelerated computing across varied datacenter environments. Drive technical strategy, stakeholder engagement, cross-functional execution, and lifecycle management from design through operations.

Lead alignment of NVIDIAcompiler codebases with open-source projects, build tooling and workflows to improve developer productivity, automate rebasing/patch management and apply AI-assisted workflows, while partnering with architecture and CI teams to scale changes across NVIDIA.

Architect and demonstrate simulation workflows using DSX Sim and Omniverse libraries to help partners and customers build, validate, optimize, and operationalize AI factory digital twins. Drive integration of Omniverse libraries, develop reference architectures, prototypes, benchmarks, and sample workflows, and coordinate with sales, product engineering, and partners to resolve blockers and advance adoption.

Create and deliver developer-focused technical content and workshops that teach CUDA and NVIDIA GPU technologies. Evaluate new CUDA features, produce tutorials and blog posts, capture developer feedback to inform product decisions, and collaborate across product, engineering, and marketing teams to drive developer adoption.

Advise ISVs on designing, deploying, and optimizing large-scale accelerated AI infrastructure. Lead architecture reviews, POCs, benchmarks, and production deployment guidance across compute, networking, storage, containers, orchestration, observability, and CI/CD. Create reference architectures, sizing guidance, technical playbooks, demos, and whitepapers. Support cluster monitoring, reliability, and performance improvements. Up to 20% travel for customer engagements.